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https://hdl.handle.net/2445/194389
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DC Field | Value | Language |
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dc.contributor.author | Ahmed, Warish | - |
dc.contributor.author | Simpson, Stuart L. | - |
dc.contributor.author | Bertsch, Paul M. | - |
dc.contributor.author | Bibby, Kyle | - |
dc.contributor.author | Bivins, Aaron | - |
dc.contributor.author | Blackall, Linda L. | - |
dc.contributor.author | Bofill Mas, Silvia | - |
dc.contributor.author | Bosch, Albert | - |
dc.contributor.author | Brandão, João | - |
dc.contributor.author | Choi, Phil M. | - |
dc.contributor.author | Ciesielski, Mark | - |
dc.contributor.author | Donner, Erica | - |
dc.contributor.author | D'Souza, Nishita | - |
dc.contributor.author | Farnleitner, Andreas H. | - |
dc.contributor.author | Gerrity, Daniel | - |
dc.contributor.author | Gonzalez, Raul | - |
dc.contributor.author | Griffith, John F. | - |
dc.contributor.author | Gyawali, Pradip | - |
dc.contributor.author | Haas, Charles N. | - |
dc.contributor.author | Hamilton, Kerry A. | - |
dc.contributor.author | Hapuarachchi, Hapuarachchige C. | - |
dc.contributor.author | Harwood, Valerie J. | - |
dc.contributor.author | Haque, Rehnuma | - |
dc.contributor.author | Jackson, Greg | - |
dc.contributor.author | Khan, Stuart J. | - |
dc.contributor.author | Khan, Wesaal | - |
dc.contributor.author | Kitajima, Masaaki | - |
dc.contributor.author | Korajkic, Asja | - |
dc.contributor.author | La Rosa, Giuseppina | - |
dc.contributor.author | Layton, Blythe A. | - |
dc.contributor.author | Lipp, Erin | - |
dc.contributor.author | McLellan, Sandra L. | - |
dc.contributor.author | McMinn, Brian | - |
dc.contributor.author | Medema, Gertjan | - |
dc.contributor.author | Metcalfe, Suzanne | - |
dc.contributor.author | Meijer, Wim G. | - |
dc.contributor.author | Mueller, Jochen F. | - |
dc.contributor.author | Murphy, Heather | - |
dc.contributor.author | Naughton, Coleen C. | - |
dc.contributor.author | Noble, Rachel T. | - |
dc.contributor.author | Payyappa, Sudhi | - |
dc.contributor.author | Petterson, Susan | - |
dc.contributor.author | Pitkänen, Tarja | - |
dc.contributor.author | Rajal, Veronica B. | - |
dc.contributor.author | Reyneke, Brandon | - |
dc.contributor.author | Roman Jr, Fernando A. | - |
dc.contributor.author | Rose, Joan B. | - |
dc.contributor.author | Rusiñol, Marta | - |
dc.contributor.author | Sadowsky, Michael J. | - |
dc.contributor.author | Sala Comorera, Laura | - |
dc.contributor.author | Xiang Setoh, Yin | - |
dc.contributor.author | Sherchan, Samendra P. | - |
dc.contributor.author | Sirikanchana, Kwanrawee | - |
dc.contributor.author | Smith, Wendy | - |
dc.contributor.author | Steele, Joshua A. | - |
dc.contributor.author | Sabburg, Rosalie | - |
dc.contributor.author | Symonds, Erin M. | - |
dc.contributor.author | Thai, Phong | - |
dc.contributor.author | Thomas, Kevin V. | - |
dc.contributor.author | Tynan, Josh | - |
dc.contributor.author | Toze, Simon | - |
dc.contributor.author | Thompson, Janelle | - |
dc.contributor.author | Whiteley , Andy S. | - |
dc.contributor.author | Chui Ching Wong, Judith | - |
dc.contributor.author | Sano, Daisuke | - |
dc.contributor.author | Wuertz, Stefan | - |
dc.contributor.author | Xagoraraki, Irene | - |
dc.contributor.author | Zhang, Qian | - |
dc.contributor.author | Zimmer Faust, Amity G. | - |
dc.contributor.author | Shanks, Orin C. | - |
dc.date.accessioned | 2023-03-01T12:53:55Z | - |
dc.date.issued | 2022-01-20 | - |
dc.identifier.issn | 0048-9697 | - |
dc.identifier.uri | https://hdl.handle.net/2445/194389 | - |
dc.description.abstract | Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) inwastewater can potentially provide an earlywarning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA inwastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularlywhen the incidence of SARS-CoV-2 inwastewater is low. Corrective and confirmatory actionsmust be in place for inconclusive results or results diverging fromcurrent trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases. | - |
dc.format.extent | 20 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Elsevier B.V. | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1016/j.scitotenv.2021.149877 | - |
dc.relation.ispartof | Science of the Total Environment, 2022, vol. 805, num. 149877 | - |
dc.relation.uri | https://doi.org/10.1016/j.scitotenv.2021.149877 | - |
dc.rights | cc by-nc-nd (c) Ahmed, Warish et al., 2022 | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.source | Articles publicats en revistes (Genètica, Microbiologia i Estadística) | - |
dc.subject.classification | SARS-CoV-2 | - |
dc.subject.classification | COVID-19 | - |
dc.subject.classification | Aigües residuals | - |
dc.subject.classification | Epidemiologia | - |
dc.subject.other | SARS-CoV-2 | - |
dc.subject.other | COVID-19 | - |
dc.subject.other | Sewage | - |
dc.subject.other | Epidemiology | - |
dc.title | Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 720121 | - |
dc.date.updated | 2023-03-01T12:53:55Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 34818780 | - |
Appears in Collections: | Articles publicats en revistes (Genètica, Microbiologia i Estadística) |
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File | Description | Size | Format | |
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720121.pdf | 2.02 MB | Adobe PDF | View/Open |
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